Crafting ecological materials from green resources is posing a significant challenge for the researchers and scientists around the globe and has resulted in the development of nanocellulose materials, which has paved the way for enriching the basic knowledge and many opportunities on developing biobased materials. This has augmented the utilization of carbohydrate-based organic materials and successfully replacing conventional nonrenewable materials. Cellulose nanomaterials (CNMs) belonging to the newer emerging field of nanomaterials are finding increasing interest among the investigators owing to their environmentally sustainable characteristics like biodegradability, biocompatibility, and potential availability in abundance at a cheaper price. The present review article intends to provide a detailed insight about the advancements and various challenges postured in the field of cellulose nanocrystals (CNCs) and cellulose nanofibers (CNFs). The article further discusses about different cellulose fiber extraction sources and their methods, purification processes employed, various sample preparation and drying techniques used for CNCs and CNFs. The article also outlines the various characterization methods practiced for scrutinizing CNCs and CNFs when used in polymer matrix composites. Finally, the benefits of using the CNMs in several potential applications such as paper, oil and gas industries, food packaging and structural sectors, conductive ink and water purification areas, medical and printed electronic fields are highlighted in this extensively reviewed article.

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Present study focuses on measurement, prediction and mapping of noise levels in important places of Vellore city located in Tamil Nadu state, India. Weekday and weekend noise levels at six locations (S1 to S6) are recorded during morning, afternoon and evening times. Sampling locations includes educational (S1), commercial (S2 and S4), tourist and recreational (S3), and mixed (S5 and S6) zones. Assessment in Vellore city showed maximum Leq level in S4 and S5 and lowest is recorded in S3 throughout the study. Highest Leq levels are recorded in evening (57.52–78.41 dB(A)) and afternoon (58.76–76.39 dB(A)) time during weekday and weekend, respectively. Along with Leq, noise descriptors are also included and discussed in this study. Weekend has higher mean value of TNI thanWeekday. CoRTN model is employed to predict the L10 values. Results showed good performance of model with marginal difference between measured and predicted L10 levels. Further noise maps are created separately for weekday and weekend using ArcGIS software. Noise maps showed alarming noise levels near sampling sites and it is suggested to take immediate preventive measures using barriers or by providing alternative traffic routes.

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